We present modifications to an existing anomaly detection method called
HDoutliers which is a powerful algorithm based on Weissman's Spacings theorem.
However, it has some limitations that affect its accuracy. In this talk, we
explain Weissman's spacings theorem, and propose solutions to some limitations
of HDoutliers. We also extend the modified algorithm to data streams that
exhibits non-stationary behaviour.